{
 "id": "OpenLLM-France/Luciole_RAG",
 "owner": "OpenLLM-France",
 "name": "Luciole_RAG",
 "downloads": 39,
 "likes": 1,
 "last_modified": "2026-09-22T16:13:46.000Z",
 "stated_licence": "cc-by-sa-4.0",
 "stated_from": "tag",
 "licence_name": null,
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 "sources": [],
 "gated": false,
 "tasks": [
  "question-answering",
  "text-generation"
 ],
 "citation": "@inproceedings{yang2018hotpotqa,\n  title={{HotpotQA}: A Dataset for Diverse, Explainable Multi-hop Question Answering},\n  author={Yang, Zhilin and Qi, Peng and Zhang, Saizheng and Bengio, Yoshua and Cohen, William W. and Salakhutdinov, Ruslan and Manning, Christopher D.},\n  booktitle={Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP)},\n  year={2018}\n}\n\n@inproceedings{zhu2021tatqa,\n  title={{TAT-QA}: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance},\n  author={Zhu, Fengbin and Lei, Wenqiang and Huang, Youcheng and Wang, Chao and Zhang, Shuo and Lv, Jiancheng and Feng, Fuli and Chua, Tat-Seng},\n  booktitle={Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL)},\n  year={2021}\n}",
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 "revision": "785fdfd69d68dbfa32ebd7c311638fde2416a159",
 "stated_evidence": "https://huggingface.co/datasets/OpenLLM-France/Luciole_RAG/blob/785fdfd69d68dbfa32ebd7c311638fde2416a159/README.md",
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}